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With its friendly and informal style, this market leading text breaks down topics into short sections making learning each new technique seem less daunting. With plenty of practice problems, it provides opportunities to stop and check understanding and allows students to learn at their own pace.
Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple ""canned"" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
This edition combines clear statistical methods with a proven approach that presents a problem, then a scenario. Updated applications reflect the latest developments in business and statistics today. You work with more than 350 new and updated business examples, approximately 50 new and updated cases and hands-on exercises that highlight statistics in action.
The eighth edition of Chapra and Canale's 'Numerical Methods for Engineers' retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving.
Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.